Storm surge flood early warning method and system based on long-term and short-term memory network

Abstract

The invention provides a storm surge flood early warning method based on a long-term and short-term memory network. The storm surge flood early warning method comprises the steps of obtaining historical data for normalization processing; inputting the data into a long-term and short-term memory network for iterative training to obtain a flood prediction model for predicting future water level change conditions; inputting the current storm event data into a flood prediction model to predict a water level change condition; and if the water level exceeds the preset warning line, starting a flood-fighting emergency plan, otherwise, predicting the position of an inland inundation point, and starting the inland inundation emergency plan. The invention further provides a storm surge early warningsystem. The storm surge and flood early warning method and system based on the long-term and short-term memory network have the advantages that a model for predicting storm surge water level changesis constructed based on a long-term and short-term memory network algorithm, derivative inland inundation disaster conditions are predicted based on an SWMM model when the water level does not exceeda flood boundary, and decision support is provided for early warning and disaster relief work.

Description

technical field [0001] The invention relates to the technical field of early warning of storm surge disasters, in particular to a method and system for early warning of storm surge and flood disasters based on long and short term memory networks. Background technique [0002] Typhoon storm surge disasters are one of the major marine disasters in China, covering the coastal areas of China, with high frequency and intensity of disasters, causing serious human and economic losses. Storm surge disaster risk is a measure of the possibility and uncertainty of storm surge disaster losses. Due to the diversity of storm surge disaster-causing factors and the particularity of disaster-affected bodies, storm surge disaster risk has a greater risk than other disaster risks. Uncertainty, especially when the storm surge meets the astronomical tide, it will be more destructive, often causing the water level of the affected sea area to rise sharply, resulting in the rise of the water level ...

AI Technical Summary

Problems solved by technology

Storm surge disaster risk is a measure of the possibility and uncertainty of storm surge disaster losses. Due to the diversity of storm surge disaster-causing factors and the particularity of disaster-affected bodies, storm surge disaster risk has a greater risk than other disaster risks. Uncertainty, especially when the storm surge meets the astronomical tide, it will be more destructive, often causing the water level of the affected sea area to rise sharply, resulting in the rise of the water level of the estuary, the strengthening of tidal current support, and poor drainage of the river , the difficulty of flood discharge and drainage in coastal cities has increased, and the impact of typhoon storms on disasters has been aggravated

[0003] There are storm surge disaster early warning methods in the existing technology. The main technology is to predict and analyze the path of the storm, storm intensity or disaster level, but it ignores the urban waterlogging problem caused by the storm surge, and cannot give targeted early warning information.

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